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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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optimized designs in actual resonant power converters using WBG semiconductors. The expected outcomes include a robust 3-D modelling framework, novel low-leakage magnetic layouts, and an advanced design
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optical computing devices that can solve hard combinatorial problems. Such combinatorial problems are commonplace in our society, for instance in logistics, finance or pharmaceutical research. However, for
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and the characterization of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions
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on developing data-driven, low-order aerodynamic models of VPPs, updated in real time with experimental data, and using them to design control strategies for flight stability and performance optimization
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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analysis Thermal integrity in 2.5D packaging Advanced design technology co-optimization Parasitic extraction for large cells Area-selective deposition for nanoscale structures ...and more! By bridging
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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of
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experience in design of (analog/mixed-signal) integrated circuits. hands-on experience with methods of optimization and circuit design and layout. Candidates should be motivated, independent, show critical